Target Recognition of Synthetic Aperture Radar Images Using Level-Set Segmentation Method
水平集分割方法在合成孔径雷达图像目标识别中的应用

Correct segmentation and effective feature extraction is a critical problem in target recognition of synthetic aperture radar images.In this paper,level-set method was applied in target recognition of synthetic aperture radar images.Target and shadow regions of each image were segmented from background clutter regions using level-set method.The shape of target region was used as significant feature in target recognition based on template matching.Image samples of three targets in MSTAR database are used to verify the method.The results show that using level-set segmentation and template matching can extract effective feature of target and achieve correct recognition of targets.